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Knowledge processing in control systems
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DOI：10.1109/69.485640.png)
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Abstract
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A real time knowledge processing procedure is proposed for rule-based systems in general and control systems applications in particular. Distinguishing features of the procedure include a mechanism for rule base compression and an inference scheme based on matrix operators. The procedure is also amenable for schedulability analysis to provide response time warranty An application concerning supervisory group control of elevators is also included to show the usefulness of the proposed procedure.
Keywords:
artificial intelligence
real-time computer systems
computer control
knowledge engineering
real-time rule based systems
knowledge representation
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